Risk-Aware Secure Data Mesh using Databricks for SAP and Healthcare Cloud Platforms
DOI:
https://doi.org/10.15662/IJARCST.2025.0805025Keywords:
Data Mesh, Databricks Lakehouse, SAP Cloud, Healthcare Analytics, Risk-Aware Security, Data Governance, Cloud ArchitectureAbstract
The rapid adoption of cloud platforms in SAP-enabled healthcare environments has intensified challenges related to data security, regulatory compliance, scalability, and risk management. Traditional centralized data architectures often struggle to support real-time analytics, cross-domain interoperability, and governance at scale. This paper proposes a Risk-Aware Secure Data Mesh using Databricks for SAP and healthcare cloud platforms, enabling decentralized data ownership while enforcing enterprise-wide security and governance policies. The framework integrates Databricks Lakehouse capabilities with domain-oriented data products, zero-trust security principles, and automated risk controls across networks, APIs, and data layers. Advanced access control, encryption, lineage tracking, and policy-as-code mechanisms are employed to ensure compliance with healthcare regulations and SAP data standards. The proposed architecture supports real-time and batch analytics, improves data reliability, and enhances operational resilience in multi-cloud and hybrid environments. By embedding risk-awareness into data pipelines and analytics workflows, the solution enables secure data sharing, faster insights, and informed decision-making across healthcare business processes.References
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